Job
Description
General Summary:
As a Systems/Software Engineer within the industry leading Location Team, you will be part of an innovative team researching and designing the core Location Technology deployed in billions of devices worldwide. With a focus on new technologies, we develop ideas from inception to production, delivering products that provide significant value and transform the lives of our users.
You will leverage your creativity and technical skills to develop the next generation of Location Technology for Edge Computing devices in the mobile, IOT and Automotive market segments. Your responsibilities include designing prototypes, demonstrating performance/reliability improvements, developing embedded software and commercializing for mass deployment.
You will apply advanced techniques such as hybrid technology fusion, GNSS or GNSS/INS navigation, MEMS sensor processing, causal/non-causal estimation, and Machine Learning to develop algorithms and embedded software that redefine the state-of-the-art for navigation availability, accuracy and precision.
All Qualcomm employees are expected to actively support diversity on their teams, and in the Company.
Minimum Qualifications:
1-2 years industry experience relating to Location sensing/estimation projects
Strong background in control systems, estimation techniques (least-squares, Kalman filtering, particle filtering), statistical signal processing, sensor fusion, and optimization. A college-level project, internship or peer-reviewed paper in related area is a plus.
Proficient in programming with C/C , MATLAB, Python
Background in Machine and Deep Learning techniques such as Convolutional Neural Networks.
Systems Engineering and/or Software Development experience is a plus
Understanding of navigation/positioning solutions and software development, knowledge of positioning using hybrid technology fusion (e.g. GNSS/INS, Sensors, WLAN WWAN) is desirable.
Experience in data analysis and statistical correlation identification.
Experience designing, developing, and debugging medium to large scale real-time and near real time systems is desirable.